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yome-agent

> 编程语言
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--- Yome Agent is not yet another chat agent. It is the open-source substrate of Yome — an Empower Kernel that weaves the LLM, your devices…

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--- Yome Agent is not yet another chat agent. It is the open-source substrate of Yome — an Empower Kernel that weaves the LLM, your devices…


Yome Agent is not yet another chat agent. It is the open-source substrate of Yome — an Empower Kernel that weaves the LLM, your devices and your native apps into one runtime.

The model is strong. It lives nowhere near your twelve context silos. Today you are the router between context and tool; 80% of your workday is spent shuffling, not creating. Yome Agent exists to take that routing job away from you — not by inventing one more tool, but by waking up the tools you already own.


Quickstart

bash
# Install
npm install -g @poping/yome

# Configure (saved to ~/.yome/config.json)
yome --key sk-... --base-url https://your.endpoint --model your-model

# Run
yome                              # interactive REPL
yome "summarise package.json"     # one-shot

# Install your first native skill (PowerPoint editor)
yome skill install github:Whopus/yome-skill-ppt
yome skill list

Once yome is running, type:

> Make a new ppt titled "Q3 Review" and save it to my Desktop

The model issues real ppt new ~/Desktop/q3.pptx → ppt title 1 --text="Q3 Review" → ppt save Bash commands. Microsoft PowerPoint opens on your desktop. The file lands on disk. That is the minimum loop of an Empower Kernel.


The Three Engines

Yome Agent is composed of three engines, each independent yet interlocking. Each is a piece of ground truth from the Agentic Empower Intelligence blueprint in the Yome business plan.


1. Agentic Contextual Engine

Context is not a static string. It is a living continuum.

The agent loop must not live only in the 30 seconds after you press Enter. It should be always-on, never-forget, ambient. This is the dimension that separates Yome Agent from traditional chat-style coding agents.

Capability Meaning
Daemon Yome runs as an OS-level daemon, not a chat window. It watches your filesystem, calendar, IM signals, and long-running jobs in the background — and only surfaces when something matters. The agent loop never has to be re-spawned from scratch.
Live compaction Long sessions auto-compress history; tokens never overflow, memory never lost
Oncall The agent is event-driven, not prompt-driven. WeChat / Feishu / Slack / iMessage messages, calendar fires, build finishes, GPU spikes, @you mentions — Yome reacts to the world and pages you with a one-line summary + a draft response, instead of waiting for you to ask.

Available today:

bash
yome thread list                                # list past sessions in cwd
yome thread share  --skill=   # build redacted case bundle
yome thread submit  --skill=  # publish as PR (needs gh CLI)

Sessions, history compaction and case bundles ship today. Daemon and Oncall are next-up on the next branch.


2. Agentic Native Skill

The scarce capability is not "another prompt template" or "an MCP wrapper running in the cloud". It is invoking the native apps already installed on your machine and making them obey agent instructions.

We call them Native Skills:

Type Runs where Does what Example
Prompt Skill LLM context window Loads a markdown prompt template code-review, web-research
MCP Server Remote process Exposes JSON-RPC tools to the LLM github MCP, filesystem MCP
Native Skill (Yome) Your own machine (macOS / Win / Linux) Drives native apps via AppleScript / Win32 / DBus ppt, xl, cal, mail, rem

Install / manage:

bash
yome skill install github:Whopus/yome-skill-ppt
yome skill perms @yome/ppt                      # view granted capabilities
yome skill perms @yome/ppt --revoke=fs:write    # revoke one
yome skill validate                             # lint the cwd skill
yome skill publish                              # publish to hub (after `yome login`)

Capability model. Every skill must declare the OS resources it needs in its manifest, and the user must grant them explicitly at install time. This is not "asking for permission" in a prompt — it is a real sandbox gate:

Capability Meaning
applescript Execute AppleScript (macOS only)
fs:read / fs:write / fs:delete Filesystem access, scope-limited
network Outbound network
shell Arbitrary shell commands (dangerous, denied by default)

Ungranted capabilities return capability not granted: …. The model sees the error and asks you to grant — never silently fails.

Native skills available today:

Skill Domain Status
@yome/ppt ppt stable — 16 actions, batch-ready, 4 themes (--doc)
@yome/xl xl beta
@yome/cal cal beta
@yome/rem rem beta
@yome/mail mail alpha

3. Agentic Bash Kernel

Bash is the interface. A skill is a verb. However a user types it in a shell, the model invokes it the same way through its Bash tool. One syntax. Two users.

The model does not have to learn a new tool:

jsonc
// What the model sees in its tools list — just one Bash:
{ "name": "Bash", "description": "Run a shell command." }

// What the model emits when it wants to add a slide:
Bash({ "command": "ppt slide.add" })

// The kernel intercepts BEFORE /bin/sh sees it, routes to the
// installed @yome/ppt skill, runs the AppleScript, returns the result.

Three-layer skill docs · L1 / L2 / L3

All the information the model needs to pick and use a skill lives in three layers, each optimised for tokens / latency:

Layer Where Who reads it Size
L1 — Index Lives in the system prompt The model on every turn 3 lines / ~60 tokens per skill
L2 — Signature Returned by --help The model once it decides to use the skill ~50 lines / ~250 tokens
L3 — Cookbook Returned by --doc [name] The model when the task is non-trivial KB of markdown

L1 looks like this — the actual block for the ppt skill in the system prompt:

ppt | when:    user wants to create / edit / export PowerPoint .pptx slides
    | effects: opens Microsoft PowerPoint, writes files (first save to ~/Desktop may show OS dialog)
    | start:   ppt --help

Just three fields, because that is all the LLM needs when picking a tool: when to fire, what side effects, what to type first. Authored by the skill maintainer in yome-skill.json:

jsonc
"l1": {
  "when":    "user wants to create / edit / export PowerPoint .pptx slides",
  "entry":   "ppt --help",
  "effects": "opens Microsoft PowerPoint, writes files"
}

L2 (ppt --help) is the hand-written SIGNATURE.md — one action per line, defaults inlined; the LLM can grok every arg in one read:

…

L3 (ppt --doc) lists cookbook templates; ppt --doc blue-white returns the full body (palette, type scale, batch example). The skill maintainer authors them under docs/*.md with frontmatter:

yaml
---
name: blue-white
label: Blue & White
summary: Corporate navy on white — quarterly reviews, product launches, sales decks
tags: [theme, business]
---

Batch mode · 6× speedup

Sequential tasks are the #1 performance killer in a CLI agent — each AppleScript invocation has a 200 ms cold-start. The Yome Bash kernel has a built-in batch verb that fuses N steps into one call, and --merge further fuses N scripts into a single osascript process:

bash
ppt batch --merge  *Users will not learn a new product. Users will not change the way they already work.*

We do not replace your tools. We **empower** them without interrupting the way you already work. Mail, Chat, Docs, Calendar, Files, Web — they already live on your machine. We just bolt on a living-context layer and wake them up.

| Before | After |
|---|---|
| Passive Tool | Proactive Agent |
| You route context → tool | Yome reaches into every device for you |
| 12 contexts, 0 AI | 1 buddy that knows everything about you |

---

## Project Status

| Area | Status |
|---|---|
| Bash kernel (tokenizer + dispatcher + permission gate) | **stable** |
| Native skill format (yome-skill.json + L1/L2/L3 docs) | **stable** |
| `@yome/ppt` (16 actions, batch + 4 themes) | **stable** |
| Skill hub (search / install / publish) | **stable** |
| Capability model (sandbox grants) | **stable** |
| Thread history + case bundles | **stable** |
| Live history compaction | beta |
| Daemon (OS-level always-on loop) | experimental, on `next` branch |
| Oncall (event-driven, auto-paging) | next-up |

**Daemon roadmap** *(scoped, on `next`)*

- [ ] **Notification interception** — WeChat / Feishu / Slack / WhatsApp / iMessage. Surface what matters, suppress noise, draft replies before you ask.
- [ ] **Routine automation** — subscribed feeds, blogs, daily digests, alarms, calendar. Fires without you opening anything.
- [ ] **State-change watchers** — experiment finished, CPU/GPU spike, build green, someone @-pinged you. Push the moment, not the digest.

---

## License

[Apache License 2.0](./LICENSE) — Yome Agent + official skills (`yome-skill-ppt`, `yome-skill-xl`, `yome-skill-cal`, `yome-skill-rem`, `yome-skill-fs`).

Community-contributed skills published to the Yome hub are author-owned git repositories under their own license terms.

---

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PublishedAug 1, 2026
UpdatedSep 17, 2026
Category编程语言
PricingOpen source

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